Data loops and workflow lock-in that compound. Slower to start, much harder to copy. 2,022 ideas qualify, averaging 74/100 on the opportunity score. Membership is computed from the scores rather than chosen by hand, so the list updates whenever the corpus is rebuilt.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, starting from data the business already produces.
A reconciliation engine that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, catching the error before it becomes a change order.
An optimisation engine that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, writing down what only one person knows.
Point a reconciliation engine at reporting & analytics, and let people review output instead of producing it. Aimed at legal solo practitioners, charging only when it actually works.
Renewal management handled by a forecasting model, with a human signing rather than writing. Aimed at legal solo practitioners, proving value before anyone signs anything.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at legal solo practitioners, starting from data the business already produces.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at legal solo practitioners, charging only when it actually works.
A forecasting model that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at legal solo practitioners, finding what the inspector would find, first.
Point a forecasting model at dispatch, and let people review output instead of producing it. Aimed at legal solo practitioners, built for one person, not a department.
A narrow forecasting model scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, going after the low-value tail everyone else skips.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, at a tenth of what the enterprise suite charges.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, finding what the inspector would find, first.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at legal partners, closing the loop while everyone is asleep.
An optimisation engine that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, finding what the inspector would find, first.
A forecasting model that handles route planning end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, surfacing the exposure nobody has priced.
Site selection handled by a forecasting model, with a human signing rather than writing. Aimed at legal partners, taking the phone queue off a human entirely.
Site selection handled by a forecasting model, with a human signing rather than writing. Aimed at legal partners, unbundling the one module people actually use.
A long-context reviewer that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, unbundling the one module people actually use.
A forecasting model that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
A reconciliation engine that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
Quality control handled by a forecasting model, with a human signing rather than writing. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at legal paralegal teams, starting from data the business already produces.
A narrow anomaly detector scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at legal ops teams, going after the low-value tail everyone else skips.
A forecasting model that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, taking the phone queue off a human entirely.